Non-linear features and feature selection algorithms for speech based prediction of body mass index (BMI)
Obesity and overweight have been a growing concern due to their negative impacts on human‘s health. Obesity is considered as a major cause of some serious diseases such as diabetes, cardiovascular diseases, and metabolic syndrome, and it has become epidemic. Today, body mass index (BMI) is widely us...
Saved in:
Format: | Thesis |
---|---|
Language: | English |
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77987/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77987/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77987/4/Chawki%20Berkai.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Food Choice And Preferences Among Libyan Residents In The Klang Valley, Malaysia
by: Abdalhadi Mohamed Masoud Mansour -
Effectiveness of an integrated school-based intervention programme in reducing BMI and BMI Z-scores among adolescents in Seremban, Negeri Sembilan, Malaysia
by: Lai, Wai Kent
Published: (2021) -
Validity of self-reported weight, height and body mass index (BMI) among Malaysia late adolescent /
by: Kong, Pun Pun
Published: (2019) -
The relationship between a child's BMI with parental feeding style and maternal perception towards childhood obesity /
by: Saw, Shi Hui -
Classroom speech intelligibility prediction system for front-rear speech amplified classroom based on audio features
by: Mohammad Ridhwan, Tamjis